from sklearn_benchmarks.reporting.hpo import HPOReporting
import pandas as pd
pd.set_option('display.max_columns', None)
pd.set_option('display.max_rows', None)

Gradient boosting: randomized HPO benchmarks

reporting_hpo = HPOReporting(config="test_config.yml")
reporting_hpo.make_report()

Benchmark results for fit

Raw fit times vs. accuracy scores

Smoothed HPO Curves

The shaded areas represent boostrapped quartiles.

Speedup barplots

Speedup curves

Benchmark results for predict

Raw predict times vs. accuracy scores